Named Entity Recognition Ner On Jnlpba

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	F1	Paper Title	Repository
Spark NLP	81.29	Biomedical Named Entity Recognition at Scale	-
KeBioLM	82.0	Improving Biomedical Pretrained Language Models with Knowledge
BioBERT	77.59	BioBERT: a pre-trained biomedical language representation model for biomedical text mining
BioMobileBERT	80.13	On the Effectiveness of Compact Biomedical Transformers
PubMedBERT uncased	79.1	Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing
CompactBioBERT	79.88	On the Effectiveness of Compact Biomedical Transformers
SciBERT (Base Vocab)	75.77	SciBERT: A Pretrained Language Model for Scientific Text
DistilBioBERT	79.97	On the Effectiveness of Compact Biomedical Transformers
BioLinkBERT (large)	80.06	LinkBERT: Pretraining Language Models with Document Links
BioKMNER + BioBERT	77.83	Improving Biomedical Named Entity Recognition with Syntactic Information
BioFLAIR	77.03	BioFLAIR: Pretrained Pooled Contextualized Embeddings for Biomedical Sequence Labeling Tasks
BINDER	80.3	Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning
BioDistilBERT	79.1	On the Effectiveness of Compact Biomedical Transformers
SciFive-Large	77.55	SciFive: a text-to-text transformer model for biomedical literature
aimped	77.72	-	-
MINER	77.03	MINER: Improving Out-of-Vocabulary Named Entity Recognition from an Information Theoretic Perspective
BLSTM-CNN-Char (SparkNLP)	81.29	Biomedical Named Entity Recognition at Scale	-

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